Machine Learning Engineer
Job Description
Adobe is seeking a seasoned Machine Learning Engineer to join their Advertising Cloud team, specifically within the Spend Optimizer group. This role presents an exciting opportunity to work with cutting-edge technologies in digital advertising optimization. The position involves applying reinforcement learning, time series analysis, bayesian modeling, and Gen AI frameworks to optimize ad spends and drive the best user experiences.
The ideal candidate will lead a team of skilled machine learning engineers, working on Adobe's Demand Side Platform (DSP) and Spend Optimizer that helps customers plan, buy, measure, and optimize their digital media across various channels including CTV, Online Video, Display, Search, Social, and Retail Media Networks.
Adobe offers an exceptional work environment that has been recognized globally. The company emphasizes collaboration and growth through their unique Check-In approach, fostering an environment where feedback flows freely. As part of Adobe's mission to change the world through digital experiences, you'll be working with emerging artists to global brands, helping deliver exceptional digital experiences.
The role requires a blend of technical expertise and leadership skills, with a focus on developing and deploying scalable machine learning solutions that optimize Adobe's products and services. You'll be working in a collaborative, inclusive environment where innovation and new ideas are encouraged. This position offers the opportunity to make a significant impact on Adobe's advertising technology solutions while working with some of the largest global advertisers.
Responsibilities For Machine Learning Engineer
- Technically lead and guide team of skilled machine learning engineers
- Collaborate with multi-functional teams to determine technical requirements
- Develop and deploy scalable machine learning solutions
- Drive innovation through research and experimentation
- Monitor and evaluate the performance of ML models
Requirements For Machine Learning Engineer
- Outstanding knowledge of machine learning frameworks like PyTorch, Tensorflow, Scikit-learn, with strong Python programming skills
- Solid understanding of core machine learning and statistics, including Bayesian Modeling, Time Series Analysis, Reinforcement Learning, and Optimization
- Experience in developing, deploying and maintaining ML models in production environment
- PhD or Master's in Computer Science/Applied Math/Statistics/related field
- About 10 years of experience in applied Machine Learning setting
- Experience with cloud-scale, data-driven products and services
- Domain expertise in Digital ad technologies (desirable)
Benefits For Machine Learning Engineer
- Competitive benefits package
- Exceptional work environment
- Professional development opportunities
- Collaborative work culture
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